Patrick Brandão

1.1k citations
20 papers · 931 · h-index 11

Impact in

  • Oncology top 5%
    • Colorectal Cancer Screening and Detection
    • Artificial Intelligence in Healthcare and Education

Papers in

Patrick Brandão

18 papers receiving 911 citations

Peers

Patrick Brandão
Comparison fields: 5 of 44
  • Oncology 608
  • Health Informatics 65
  • Computer Vision and Pattern Recognition 193
  • Artificial Intelligence 232
  • Gastroenterology 28
Replace Priyam V. Tripathi with:
Priyam V. Tripathi United States
Talal Alkayali United States
Mohit Mittal United States
Ebrahim Nasr-Esfahani Iran
Matteo Badalamenti Italy
Yukitaka Nimura Japan
Guangre Xu China
Luis Antonio de Souza Jr Brazil
Florian Soudan United States
Motoi Miura Japan
Patrick Brandão relative to Priyam V. Tripathi United States Priyam V. Tripathi's profile →
Citations per field
00.5×2×3×4.0×
Priyam V. Tripathi · 1×
Citations per year

Countries citing papers authored by Patrick Brandão

Since Specialization
Citations

This map shows the geographic impact of Patrick Brandão's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Patrick Brandão with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Brandão more than expected).

Fields of papers citing papers by Patrick Brandão

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Brandão. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Patrick Brandão. The network helps show where Patrick Brandão may publish in the future.

Co-authors

The 25 scholars most cited alongside Patrick Brandão, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Brandão Line = papers co-authored together Patrick Brandão links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2017358
2 2018169
3 2017142
4 201859
5
Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks
201836
6 202236
7 202126
8 202024
9 201819
10 202216
11 202013
12 201811
13 20239
14 20225
15 20234
16 20252
17
Validating convolution neural networks for automatic polyp detection in robotic colonoscopy
20161
18 20211
19 20210
20 20220

About Patrick Brandão

Patrick Brandão is a scholar working on Oncology, Computer Vision and Pattern Recognition, Artificial Intelligence, Pediatrics, Perinatology and Child Health and Surgery, having authored 20 papers that have together received 931 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (17 papers), Advanced Vision and Imaging (2 papers), AI in cancer detection (2 papers), Surgical Simulation and Training (1 paper), Advanced Neural Network Applications (1 paper), Assisted Reproductive Technology and Twin Pregnancy (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Oncology (608 citations), Health Informatics (65 citations), Computer Vision and Pattern Recognition (193 citations), Artificial Intelligence (232 citations) and Gastroenterology (28 citations). Patrick Brandão has collaborated with scholars based in United Kingdom, Italy and Spain. Frequent co-authors include Danail V. Stoyanov, Evangelos B. Mazomenos, Laurence B. Lovat, Omer F. Ahmad, Roser Vega, Anastasios Koulaouzidis, Manish Chand, Edward W. Seward, António Sampaio Soares and Alberto Arezzo. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Digestive Endoscopy, Endoscopy, Biomedical Optics Express and Pattern Recognition Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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